Amazon DVA-C02 Online Practice Questions and Exam Preparation

Amazon DVA-C02 Online Questions & Answers

• Question 151:

  A company wants to use AWS AppConfig to gradually deploy a new feature to 15% of users to test the feature before a full deployment.

  Which solution will meet this requirement with the LEAST operational overhead ?

  A. Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users.
  B. Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users.
  C. Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users.
  D. Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code.
  C. Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users.

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  Explanation

  Comprehensive Detailed and Lengthy Step-by-Step

  Explanation with All AWS Developer

  References:

  1.Understanding the Use Case:

  The company wants to gradually release a new feature to 15% of users to perform testing. AWS AppConfig is designed to manage and deploy configurations, including feature flags, allowing controlled rollouts.

  2.Key AWS AppConfig Features:

  Feature Flags: Enable or disable features dynamically without redeploying code.

  Variants: Define different configurations for subsets of users.

  Targeting Rules: Specify rules for which users receive a particular variant.

  3.

  Explanation of the Options:

  Option A:"Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users."While possible, this approach requires significant operational effort to manage user selection and

  ensure randomness. It does not leverage AWS AppConfig's built-in capabilities, which increases overhead.

  Option B:"Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users."Creating multiple feature flags for different user groups complicates configuration management and does not

  optimize the use of AWS AppConfig.

  Option C:"Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users."This is the correct solution. Using AWS AppConfig feature flags with variants and targeting rules is the most

  efficient approach. It minimizes operational overhead by leveraging AWS AppConfig's built-in targeting and rollout capabilities. Option D:"Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting

  mechanism in the application code."This approach requires custom implementation within the application code, increasing complexity and operational effort.

  4.Implementation Steps for Option C:

  Set Up AWS AppConfig:

  Open the AWS Systems Manager Console.

  Navigate to AppConfig .

  Create a Feature Flag:

  Define a new configuration for the feature flag.

  Add variants (e.g., "enabled" for the new feature and "disabled" for no change).

  Define a Targeting Rule:

  Use percentage-based targeting to define a rule that applies the "enabled" variant to 15% of users.

  Targeting rules can use attributes like user IDs or geographic locations.

  Deploy the Configuration:

  Deploy the configuration using a controlled rollout to ensure gradual exposure.

  References:

  AWS AppConfig Documentation

  Feature Flags in AWS AppConfig

  AWS AppConfig Targeting Rules

• Question 152:

  A developer is building an application that will use an Amazon API Gateway API with an AWS Lambda backend. The team that will develop the frontend requires immediate access to the API endpoints to build the UI. To prepare the backend application for integration, the developer needs to set up endpoints. The endpoints need to return predefined HTTP status codes and JSON responses for the frontend team. The developer creates a method for an API resource.

  Which solution will meet these requirements?

  A. Set the integration type to AWS_PROXY. Provision Lambda functions to return hardcoded JSON data.
  B. Set the integration type to MOCK. Configure the method's integration request and integration response to associate a JSON responses with specific HTTP status codes.
  C. Set the integration type to HTTP_PROXY. Configure API Gateway to pass all requests to an external placeholder API. which the team will build.
  D. Set the integration type to MOCK. Use a method request to define HTTP status codes. Use an integration request to define JSON responses.
  B. Set the integration type to MOCK. Configure the method's integration request and integration response to associate a JSON responses with specific HTTP status codes.

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  Explanation

• Question 153:

  A company has a large amount of data in an Amazon DynamoDB table. A large batch of data is appended to the table once each day. The company wants a solution that will make all the existing and future data in DynamoDB available for analytics on a long-term basis.

  Which solution meets these requirements with the LEAST operational overhead?

  A. Configure DynamoDB incremental exports to Amazon S3.
  B. Configure Amazon DynamoDB Streams to write records to Amazon S3.
  C. Configure Amazon EMR to copy DynamoDB data to Amazon S3.
  D. Configure Amazon EMR to copy DynamoDB data to Hadoop Distributed File System (HDFS).
  A. Configure DynamoDB incremental exports to Amazon S3.

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  Explanation

  Why Option A is Correct:DynamoDB supports incremental exports to Amazon S3 natively, making data analytics-ready with minimal operational overhead.

  Why Other Options are Incorrect:

  Option B: DynamoDB Streams require additional processing logic to write to S3, increasing complexity.

  Option C and D: Using EMR for data movement adds unnecessary operational overhead compared to native exports.

  AWS Documentation

  References:

  DynamoDB Exports to S3

• Question 154:

  A developer is creating a service that uses an Amazon S3 bucket for image uploads. The service will use an AWS Lambda function to create a thumbnail of each image. Each time an image is uploaded, the service needs to send an email notification and create the thumbnail. The developer needs to configure the image processing and email notifications setup.

  Which solution will meet these requirements?

  A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure S3 event notifications with a destination of the SNS topic. Subscribe the Lambda function to the SNS topic. Create an email notification subscription to the SNS topic.
  B. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure S3 event notifications with a destination of the SNS topic. Subscribe the Lambda function to the SNS topic. Create an Amazon Simple Queue Service (Amazon SQS) queue. Subscribe the SQS queue to the SNS topic. Create an email notification subscription to the SQS queue.
  C. Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure S3 event notifications with a destination of the SQS queue. Subscribe the Lambda function to the SQS queue. Create an email notification subscription to the SQS queue.
  D. Create an Amazon Simple Queue Service (Amazon SQS) queue. Send S3 event notifications to Amazon EventBridge. Create an EventBridge rule that runs the Lambda function when images are uploaded to the S3 bucket. Create an EventBridge rule that sends notifications to the SQS queue. Create an email notification subscription to the SQS queue.
  A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure S3 event notifications with a destination of the SNS topic. Subscribe the Lambda function to the SNS topic. Create an email notification subscription to the SNS topic.

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  Explanation

• Question 155:

  A developer compiles an AWS Lambda function and packages the result as a .zip file. The developer uses the Functions page on the Lambda console to attempt to upload the local packaged .zip file. When pushing the package to Lambda, the console returns the following error:

  

  Which solutions can the developer use to publish the code? (Select TWO.)

  A. Upload the package to Amazon S3. Use the Functions page on the Lambda console to upload the package from the S3 location.
  B. Create an AWS Support ticket to increase the maximum package size.
  C. Use the update-function-code AWS CLI command. Pass the --publish parameter.
  D. Repackage the Lambda function as a Docker container image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a new Lambda function by using the Lambda console. Reference the image that is deployed to Amazon ECR.
  E. Sign the .zip file digitally. Create a new Lambda function by using the Lambda console. Update the configuration of the new Lambda function to include the Amazon Resource Name (ARN) of the code signing configuration.
  A. Upload the package to Amazon S3. Use the Functions page on the Lambda console to upload the package from the S3 location.
  D. Repackage the Lambda function as a Docker container image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a new Lambda function by using the Lambda console. Reference the image that is deployed to Amazon ECR.

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  Explanation

• Question 156:

  A company has installed smart meters in all its customer locations. The smart meters measure power usage at 1-minute intervals and send the usage readings to a remote endpoint for collection. The company needs to create an endpoint that will receive the smart meter readings and store the readings in a database. The company wants to store the location ID and timestamp information.

  The company wants to give its customers low-latency access to their current usage and historical usage on demand. The company expects demand to increase significantly. The solution must not impact performance or include downtime while scaling.

  Which solution will meet these requirements MOST cost-effectively?

  A. Store the smart meter readings in an Amazon RDS database. Create an index on the location ID and timestamp columns. Use the columns to filter on the customers' data.
  B. Store the smart meter readings in an Amazon DynamoDB table. Create a composite key by using the location ID and timestamp columns. Use the columns to filter on the customers' data.
  C. Store the smart meter readings in Amazon ElastiCache for Redis. Create a SortedSet key by using the location ID and timestamp columns. Use the columns to filter on the customers' data.
  D. Store the smart meter readings in Amazon S3. Partition the data by using the location ID and timestamp columns. Use Amazon Athena to filter on the customers' data.
  B. Store the smart meter readings in an Amazon DynamoDB table. Create a composite key by using the location ID and timestamp columns. Use the columns to filter on the customers' data.

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  Explanation

  https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-sort-keys.html

• Question 157:

  A company is developing a serverless application that needs to store sensitive API keys as environment variables for various services. The application requires automatic rotation of the encryption keys every year.

  Which solution will meet these requirements with minimal development effort?

  A. Encrypt the environment variables by using AWS Secrets Manager. Set up automatic rotation in Secrets Manager.
  B. Encrypt the environment variables by using AWS Key Management Service (AWS KMS) customer managed keys. Enable automatic key rotation.
  C. Encrypt the environment variables by using AWS Key Management Service (AWS KMS) AWS managed keys. Configure a custom AWS Lambda function to automate key rotation.
  D. Encrypt the environment variables by using AWS Systems Manager Parameter Store. Set up automatic rotation in Parameter Store.
  A. Encrypt the environment variables by using AWS Secrets Manager. Set up automatic rotation in Secrets Manager.

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  Explanation

• Question 158:

  A development team has an Amazon API Gateway REST API that is backed by an AWS Lambda function. Users have reported performance issues with the Lambda function. The development team identified that the issues are caused by cold starts of the Lambda function. The team needs to reduce the time required for the Lambda function to initialize.

  Which solution will meet this requirement?

  A. Change the Lambda concurrency lo reserved concurrency.
  B. Increase the timeout of the Lambda function.
  C. Increase the memory allocation of the Lambda function.
  D. Configure provisioned concurrency for the Lambda function.
  D. Configure provisioned concurrency for the Lambda function.

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  Explanation

• Question 159:

  A developer is deploying a company's application to Amazon EC2 instances The application generates gigabytes of data files each day The files are rarely accessed but the files must be available to the application's users within minutes of a request during the first year of storage The company must retain the files for 7 years.

  How can the developer implement the application to meet these requirements MOST cost- effectively?

  A. Store the files in an Amazon S3 bucket Use the S3 Glacier Instant Retrieval storage class Create an S3 Lifecycle policy to transition the files to the S3 Glacier Deep Archive storage class after 1 year
  B. Store the files in an Amazon S3 bucket. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Flexible Retrieval storage class after 1 year.
  C. Store the files on an Amazon Elastic Block Store (Amazon EBS) volume Use Amazon Data Lifecycle Manager (Amazon DLM) to create snapshots of the EBS volumes and to store those snapshots in Amazon S3
  D. Store the files on an Amazon Elastic File System (Amazon EFS) mount. Configure EFS lifecycle management to transition the files to the EFS Standard-Infrequent Access (Standard-IA) storage class after 1 year.
  A. Store the files in an Amazon S3 bucket Use the S3 Glacier Instant Retrieval storage class Create an S3 Lifecycle policy to transition the files to the S3 Glacier Deep Archive storage class after 1 year

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  Explanation

  Amazon S3 Glacier Instant Retrieval is an archive storage class that delivers the lowest-cost storage for long-lived data that is rarely accessed and requires retrieval in milliseconds. With S3 Glacier Instant Retrieval, you can save up to 68% on storage costs compared to using the S3 Standard-Infrequent Access (S3 Standard-IA) storage class, when your data is accessed once per quarter. https:// aws.amazon.com/s3/storage- classes/glacier/instant-retrieval/

• Question 160:

  A company has an application that runs as a series of AWS Lambda functions. Each Lambda function receives data from an Amazon Simple Notification Service (Amazon SNS) topic and writes the data to an Amazon Aurora DB instance. To comply with an information security policy, the company must ensure that the Lambda functions all use a single securely encrypted database connection string to access Aurora.

  Which solution will meet these requirements?

  A. Use IAM database authentication for Aurora to enable secure database connections for all the Lambda functions.
  B. Store the credentials and read the credentials from an encrypted Amazon RDS DB instance.
  C. Store the credentials in AWS Systems Manager Parameter Store as a secure string parameter.
  D. Use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption.
  C. Store the credentials in AWS Systems Manager Parameter Store as a secure string parameter.

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  Explanation